{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single Transmon - Grounded (xmon) \n",
    "\n",
    "We'll be creating a 2D design and adding a single transmon cross (xmon) qcomponent.\n",
    "\n",
    "Simple Metal Transmon Cross object. Creates the a cross-shaped island, the \"junction\" on the south end, and up to 3 connectors on the remaining arms (claw or gap).\n",
    "\n",
    "'claw_width' and 'claw_gap' define the width/gap of the CPW line that makes up the connector. Note, DC SQUID currently represented by single inductance sheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So, let us dive right in. For convenience, let's begin by enabling\n",
    "# automatic reloading of modules when they change.\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, open_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Each time you create a new quantum circuit design, \n",
    "# you start by instantiating a QDesign class. \n",
    "\n",
    "# The design class `DesignPlanar` is best for 2D circuit designs.\n",
    "\n",
    "design = designs.DesignPlanar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Launch Qiskit Metal GUI to interactively view, edit, and simulate QDesign: Metal GUI\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A transmon qubit\n",
    "You can create a ready-made transmon cross qubit from the QComponent Library, `qiskit_metal.qlibrary.qubits`. \n",
    "`transmon_cross.py` is the file containing our qubit so `transmon_cross` is the module we import. \n",
    "The `TransmonCross` class is our transmon cross qubit. Like all quantum components, `TransmonCross` inherits from `QComponent`. \n",
    "\n",
    " Connector lines can be added using the `connection_pads` dictionary. \n",
    " Each connector pad has a name and a list of default properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pos_x': '0um',\n",
       " 'pos_y': '0um',\n",
       " 'connection_pads': {},\n",
       " '_default_connection_pads': {'connector_type': '0',\n",
       "  'claw_length': '30um',\n",
       "  'ground_spacing': '5um',\n",
       "  'claw_width': '10um',\n",
       "  'claw_gap': '6um',\n",
       "  'connector_location': '0'},\n",
       " 'cross_width': '20um',\n",
       " 'cross_length': '200um',\n",
       " 'cross_gap': '20um',\n",
       " 'orientation': '0',\n",
       " 'hfss_inductance': '10nH',\n",
       " 'hfss_capacitance': 0,\n",
       " 'hfss_resistance': 0,\n",
       " 'hfss_mesh_kw_jj': 7e-06,\n",
       " 'q3d_inductance': '10nH',\n",
       " 'q3d_capacitance': 0,\n",
       " 'q3d_resistance': 0,\n",
       " 'q3d_mesh_kw_jj': 7e-06,\n",
       " 'gds_cell_name': 'my_other_junction'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_cross import TransmonCross\n",
    "\n",
    "# Be aware of the default_options that can be overridden by user.\n",
    "TransmonCross.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# The connectord_type can be string of '0' for 'Claw' or '1' for 'Gap' \n",
    "# to define which type of connector is used.\n",
    "\n",
    "# The connector_location can be string of '0', '90', '180'  degrees which of the three arms where a given connector should be.\n",
    "# South is for the junction. \n",
    "\n",
    "xmon_options = dict(\n",
    "    connection_pads=dict(\n",
    "        a = dict( connector_location = '0', connector_type = '0'), \n",
    "        b = dict(connector_location = '90', connector_type = '0'),\n",
    "        c = dict(connector_location = '180', connector_type = '1'),\n",
    "    ),\n",
    ")\n",
    "\n",
    "# Create a new Transmon Cross object with name 'Q1' \n",
    "q1 = TransmonCross(design, 'Q1', options=xmon_options)\n",
    "\n",
    "gui.rebuild()  # rebuild the design and plot \n",
    "gui.autoscale() #resize GUI to see QComponent\n",
    "gui.zoom_on_components(['Q1']) #Can also gui.zoom_on_components([q1.name])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[95m\u001b[1mname:    \u001b[94m\u001b[1mQ1\u001b[0m\n",
       "\u001b[95m\u001b[1mclass:   \u001b[94m\u001b[1mTransmonCross         \u001b[0m\n",
       "\u001b[95m\u001b[1moptions: \u001b[0m\n",
       "  'pos_x'             : '0um',                        \n",
       "  'pos_y'             : '0um',                        \n",
       "  \u001b[1m'connection_pads'   \u001b[0m: {\n",
       "       \u001b[1m'a'                 \u001b[0m: {\n",
       "            'connector_type'    : '0',                          \n",
       "            'claw_length'       : '30um',                       \n",
       "            'ground_spacing'    : '5um',                        \n",
       "            'claw_width'        : '10um',                       \n",
       "            'claw_gap'          : '6um',                        \n",
       "            'connector_location': '0',                          \n",
       "                             },\n",
       "       \u001b[1m'b'                 \u001b[0m: {\n",
       "            'connector_type'    : '0',                          \n",
       "            'claw_length'       : '30um',                       \n",
       "            'ground_spacing'    : '5um',                        \n",
       "            'claw_width'        : '10um',                       \n",
       "            'claw_gap'          : '6um',                        \n",
       "            'connector_location': '90',                         \n",
       "                             },\n",
       "       \u001b[1m'c'                 \u001b[0m: {\n",
       "            'connector_type'    : '1',                          \n",
       "            'claw_length'       : '30um',                       \n",
       "            'ground_spacing'    : '5um',                        \n",
       "            'claw_width'        : '10um',                       \n",
       "            'claw_gap'          : '6um',                        \n",
       "            'connector_location': '180',                        \n",
       "                             },\n",
       "                        },\n",
       "  'cross_width'       : '20um',                       \n",
       "  'cross_length'      : '200um',                      \n",
       "  'cross_gap'         : '20um',                       \n",
       "  'orientation'       : '0',                          \n",
       "  'hfss_inductance'   : '10nH',                       \n",
       "  'hfss_capacitance'  : 0,                            \n",
       "  'hfss_resistance'   : 0,                            \n",
       "  'hfss_mesh_kw_jj'   : 7e-06,                        \n",
       "  'q3d_inductance'    : '10nH',                       \n",
       "  'q3d_capacitance'   : 0,                            \n",
       "  'q3d_resistance'    : 0,                            \n",
       "  'q3d_mesh_kw_jj'    : 7e-06,                        \n",
       "  'gds_cell_name'     : 'my_other_junction',          \n",
       "\u001b[95m\u001b[1mmodule:  \u001b[94m\u001b[1mqiskit_metal.qlibrary.qubits.transmon_cross\u001b[0m\n",
       "\u001b[95m\u001b[1mid:      \u001b[94m\u001b[1m1\u001b[0m"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's see what the Q1 object looks like\n",
    "q1 #print Q1 information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Save screenshot as a .png formatted file.\n",
    "\n",
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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r6vd+7/d06NAhDQwMaPfu3br//vt1/vz55hUNLPLZz35WBw8eVG9vr2677TY98cQTy17/3e9+V7fddpt6e3t144036vOf/3yTKgWu3rW8r//2b/9Wd911l7Zv367Nmzfrjjvu0Le//e0mVgtcnWv9/3XkySefVFdXl2655ZZVrhC4Ptf63i4Wi/qDP/gDHThwQBs3btQrXvEK/fmf/3mTqm08wro28J73vEfPPPOMHn30UT366KN65plndP/99y/7mJMnT+pf/It/ob179+rv/u7v9OSTT+rhhx9esy2iaD/X876OfP3rX9cPf/hDbd68eZWrBK7dtb63c7mcfvSjH+nhhx/WP/7jP+ov//Ivdfz4cb3zne9sYtXAT33lK1/Rww8/rA984AN64okndOutt+ruu+9e8gd+p0+f1tvf/nbdeuuteuKJJ/TQQw/pAx/4gP7mb/6muYUDy7jW9/UTTzyhO+64Q3/913+t7373u7r99tv1jne8Qz/+8Y+bXDmwtGt9X0dmZmb0wAMP6I1vfGNzCgWu0fW8t9/97nfrH/7hH/Rnf/Znevrpp/WlL31Je/fubWLVjcU02BZ39OhRveY1r9F3vvMdvfa1r5UkHT58WHfccYeeeuqpJd98v/ZrvybHcfjJNlrS9b6vpcu747zxjW/U3/zN3+iee+7R+9//fr3//e9vVunAslby3q70z//8z/q5n/s5HTlyRMPDw6tZMlDjjW98o175ylfqk5/8ZPnYzTffrLvuuksf/vCHa67/vd/7PX3jG9/QU089VT72G7/xG3r22Wf12GOPNaVm4Equ9X1dz2te8xq9/e1v1wc/+MHVKhO4Jtf7vv61X/s1jYyMyLIs/c//+T/15JNPNqNc4Kpd63v77//+73XvvffqJz/5iTZu3NjMUlcNnXUt7vDhw+rq6ip/0ydJhw4dUldXl77//e/XfUwQBPrWt76l3bt3661vfat27NihN77xjfr617/erLKBZV3P+1q6/N6+77779B/+w3/QDTfc0IxSgWtyve/txWZnZ2UYhrq6ulajTGBJpVJJTz/9tO68886q43feeae+973v1X3M97///Zrr3/zmN+upp56S67qrVitwta7nfb1YEASan59XT0/PapQIXLPrfV//xV/8hU6dOqXf+Z3fWe0SgetyPe/tb3zjG7rpppv0X//rf9WePXv0qle9Sr/zO7+jfD7fjJJXBWFdixsfH1d/f3/N8f7+fo2Pj9d9zOTkpObn5/Unf/In+vmf/3l97Wtf01133aVf/uVf1ne/+93VLhm4out5X0vSn/zJn8i2bf36r//6apYHXLfrfW9XKhQK+v3f/329853vVGdnZ6NLBJZ18eJF+b6vgYGBquMDAwOamJio+5iJiYm613uep4sXL65arcDVup739WKf+tSnlMvldPfdd69GicA1u5739fHjx/X7v//7+sIXviDbtptRJnDNrue9ffr0aT355JN6/vnn9d//+3/XH/3RH+lv/uZv9Fu/9VvNKHlV8F9oTD7ykY/oox/96LLXPP7445IkwzBqzoVhWPe4dPknf5L0b/7Nv9GDDz4oSfqZn/kZff/739cXvvAF/ezP/uxKSgeWtJrv66efflp/9md/pieeeGLJa4DVsprv7Uqu6+ree+9VEAT6xCc+cX3FAg2w+P0ahsuvmrLU9fz/Gq3kWt/XkS9/+cv6wz/8Q/3VX/1VzTePQNyu9n3t+77e85736Hd/93e1Z8+eZpQGrMi1/D87CAIZhqEvfOEL5ZkpH/3oR/Wud71Lf/Inf6J0Or2qta4GwrqYvO9979M999yz7DXbt2/Xs88+Wzc9vnDhwpIfFnp7e2Xbtvbv3191fN++faxHgFW1mu/rf/qnf9Lk5GTV+9r3fX3wgx/Un/7pn+r5559fWfHAMlbzvR1xXVe/+qu/qtOnT+sb3/gGXXWIRW9vryzLqukEnZycXPI9PDAwUPd627bXzLoxaG/X876OfOUrX9H73/9+/cVf/IXe9Kb/r717C22z/uM4/n5yThN6StO01matm7RrxLK5de1gGQqCiswhIorDm6GIFAV1uAvROxFkF955wA2L3ghFHFhvdDIcDtqi3aBrZ4y2pt2albZLTU85/i/G4rK2/tfaLN3//3lBob/n+T2/Q/vj4eHL7/BgIZspsiZrHdd//fUXP//8M+fOneP1118HrgU4stksZWVlfP311zpwQjaF9byza2pquOuuu/K2kGlqaiKbzTI+Ps62bdsK2uZCULCuSKqqqqiqqvqv+dra2ojFYvT397Nr1y4A+vr6iMVi7NmzZ8VnbDYbDzzwAKFQKO96KBTSRuVSUIUc188888yyD4iDBw/y7LPPcujQoX/ddpF/UsixDX8H6sLhMD09PXg8ng1ru8ha2Gw2duzYwalTpzhw4EDu+qlTp3j88cdXfGbPnj309PTkXfv+++/ZuXMnVqu1oO0VuRXrGddwbUbdyy+/zIkTJ3jkkUduR1NFbtlax3Vpaemy/XM/+eQTTp8+zeeff05DQ0OhmyxyS9bzzm5vb+err74iHo/jdruBa8u+TSYTdXV1t6XdG0171m1yzc3NPPzww3R2dtLb20tvby+dnZ08+uijeacK7tixg5MnT+bSr776Kt3d3Zw4cYJwOMyHH37It99+ywsvvFCMbojkWc+49ng8BAKBvB+r1YrP57ujj+SW/y3rGdupVIpDhw7xyy+/cPz4cTKZDNFolGg0SiKRKFZX5P9YZ2cnn332GV1dXQwPD/Pmm28yNjbG4cOHAXjnnXfyvicOHz5MJBLh6NGjDA8P09XVRVdXF6+88kqxuiCyzFrH9ZdffsmLL77Iu+++S1tbW+69HIvFitUFkWXWMq5NJtOyb2mv14vD4SAQCOByuYrZFZE8a31nP/3001RWVvLSSy8xNDTEmTNneOutt3j++efvyCWwoJl1d4RPP/2UI0eO8MQTTwDw2GOPcezYsbw8oVCI2dnZXPrAgQN88MEHHDt2jCNHjnDvvffyxRdfsHfv3tvadpHVrGdci9wJ1jq2x8fH+eabbwDo6OjIy9fT00MwGLwNrRb521NPPcX09DTvvfceExMTtLS00N3djd/vB2BiYoJIJJLL39DQQHd3N0ePHuXjjz+mtraW999/n4MHDxapByLLrXVcHz9+nFQqxWuvvZa3Qflzzz3HRx99dNvbL7KStY5rkTvFWse22+3m5MmTvPHGGwSDQSorK3nyySd5++23i9WFf82Ix+O3trOqiIiIiIiIiIiIFJSWwYqIiIiIiIiIiGwSCtaJiIiIiIiIiIhsEgrWiYiIiIiIiIiIbBIK1omIiIiIiIiIiGwSCtaJiIiIiIiIiIhsEgrWiYiIiPyf+uGHH0gkEiveW1xc5PTp0wWpd3R0lD/++KMgZV+XSqU4e/YsmUymoPWIiIiIbDQjHo9ni90IERERESmu/v5+7r77bmpqagpaTzqd5qeffqKjowOLxVLQun799VecTif19fUFrUdERERkI2lmnYiIiIjcNpOTk5SVlRU8UAfg8/m4dOlSwesRERER2UiF/0oSERERkRXNzc3R39/P7t27KSkpIRaLce7cOdrb27HZbHl5w+EwCwsLpFIpZmZmKCsrIxAIYLfbAYhGo4TDYRKJBOXl5Wzfvh273U46nebChQtMTU0B4HK52L17NwDfffcd+/btY3x8nKtXrzI7O8vQ0BCNjY34fD7Onj3LQw89BEA8HmdoaIi5uTmcTifNzc2UlZUBcObMGfx+P2NjYyQSCWpra2lqalqxz1NTU5SXl+fSly5dYmJiAofDQTQapaSkhNbWVkZGRrh8+TIul4vW1lbsdjvT09MMDw/j8/mIRCLYbDbuv/9+rly5wp9//plLu91uAEpLS5mfnyeRSCz7e4qIiIhsVppZJyIiIlIkLpeLhoYGBgcHSafTDA4O0tTUtGpgKRqNUl9fTzAYxG63c/HiReBa0O/ChQu0tLQQDAZxOp0MDg4CcPnyZdLpNPv27SMYDLJt27Zl5d5zzz2Ul5fT0tLCgw8+SENDQ979TCbDwMAANTU1BINBtmzZwsDAAKlUKpdncnKSXbt20d7ezsTEBDMzMyv2IR6PU1JSkndtZmaGqqoq9u/fj8PhoL+/n4qKCvbv34/T6WRkZCSXd2FhAavVSjAYpLKykoGBAcxmM8FgEK/XSzgczuU1DAOn00k8Hl/9nyAiIiKyyShYJyIiIlJEfr8fwzDo7e3F7Xbj8/lWzVtRUYHH48FsNrN161YmJyfJZDJEo1F8Ph/l5eWYTCa2bt3KzMwMiUQCwzBIJpMsLCxgMpmoqKhYcxtjsRiGYVBfX4/JZKKmpoaSkpLcbL3r/bDZbDgcDioqKlYNkKVSqWVLYN1uN9XV1ZhMJrxeL2azGZ/Pl0vfWJbFYsm1o7q6mmQyid/vXzEvgNlsJplMrrnPIiIiIsWiYJ2IiIhIERmGQW1tLXNzc/j9/n/Me33J6/Xfs9ksyWSSpaUlHA5H7p7FYsFqtbK0tERtbS2VlZWcP3+eH3/8cV2nsN5cPoDD4WBpaSmXvnE2oNlsJp1Or1iWxWLJm5F387Mmkwmr1ZqXvrEsq9WKYRi5em5O31xvOp3OK09ERERks1OwTkRERKSIEokE4XCYmpoaQqEQ2Wx21bw3BseWlpYwDAOr1YrdbmdxcTF3L51Ok0wmsdvtuZl2e/fuZefOnUQikRWXqF4PeK3k5vIBFhcX84KHt8rtdjM/P7/m59Yjm82ysLCQ28NORERE5E6gYJ2IiIhIEV28eBGfz0cgEMAwDEZHR1fNe/XqVaampshkMvz+++9UVVXlloNeuXKFWCxGJpPht99+o7y8HJvNxvT0NPF4nGw2i8ViwTCMFQNzNpttWUDuurKyMrLZLGNjY7llt/Pz83g8njX31+PxrLqf3UabnZ3F6XTqcAkRERG5o+g0WBEREZEiiUajzM7O0t7ejmEYtLS00NfXh9frxeVyLctfXV1NJBLh/PnzlJaWct999wHXZqs1NzczODiYOw02EAgA12buDQ0NkUgksFgs1NXV5Z3Gel19fT2Dg4OMjIzQ2NhIdXV17p7JZKK1tZXh4WFCoVDuxNab9567FV6vl1AoRDKZLPjy1Gg0Sl1dXUHrEBEREdloRjweX32thYiIiIhsCuFwmEQiwfbt24vdlH9tdHSUTCZDY2NjwepIpVL09fXR1taG2WwuWD0iIiIiG00z60RERETkttqyZUvB67BYLHR0dBS8HhEREZGNpj3rRERERERERERENgktgxUREREREREREdkkNLNORERERERERERkk1CwTkREREREREREZJP4DyPrn+rL2f2gAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Screenshot the canvas only as a .png formatted file.\n",
    "gui.figure.savefig('shot.png')\n",
    "\n",
    "from IPython.display import Image, display\n",
    "_disp_ops = dict(width=500)\n",
    "display(Image('shot.png', **_disp_ops))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Closing the Qiskit Metal GUI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gui.main_window.close()"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
